KEC Faculty Profile

Journals Published (International)

• 1. Shanthi S.,  Murali Bhaskaran V., "Intuitionistic fuzzy C-means and decision tree approach for breast cancer detection and classification", European Journal of Scientific Research, Vol. 66, No. 3, pp. 345-351, 2011 (Scopus)

  2. Shanthi. S.,  Murali Bhaskaran V., "Computer aided system for detection and classification of breast cancer", International Journal of Information Technology, Control and Automation, Vol. 2, Issue.4, pp. 87-98, October, 2012

  3. Shanthi. S.,  Murali Bhaskaran V., "A novel approach for detecting and classifying breast cancer in mammogram images",International Journal of Intelligent Information Technologies,Vol.9,No.2 pp. 21-39 January 2013 (Indexed in ESCI)

  4. Shanthi S.,  Murali Bhaskaran V.,"A Novel Approach for Classification of Abnormalities in Digitized Mammograms", Sadhana -Academy Proceedings in Engineering Science journal, Vol. 39, No. 5 pp.1141–1150 October 2014 (Indexed in SCIE)

  5. Shanthi S.,  Murali Bhaskaran V. "Automatic Detection and Classification of Microcalcification, Mass, Architectural Distortion and Bilateral Asymmetry in Digital Mammogram", World Academy of Science, Engineering and Technology, Vol. 8, No. 11 pp. 753 -758 November 2014

  6. Shanthi S.,  Murali Bhaskaran V. "Modified Artificial Bee Colony Based Feature Selection: A New Method in the Application of Mammogram Image Classification", International Journal of Science, Engineering and Technology Research,Vol. 8, Issue.11, pp. 768-773, November 2014

  7. Parvathavarthini, Karthikeyani Visalakshmi, Shanthi "Cuckoo-search based Intuitionistic Fuzzy Clustering Algorithm", Asian Journal of Research in Social Sciences and Humanities. Vol. 7, No.2, pp.2249-7315 February 2017

  8. Lakshmi, Karthikeyani Visalakshmi, Shanthi "Cuckoo Search based K-Prototype Clustering Algorithm", Asian Journal of Research in Social Sciences and Humanities. Vol. 7, No.2, pp.2249-7315 February 2017

  9. Thenmozhi, Karthikeyani Visalakshmi, Shanthi "Optimized Data Retrieval in Big Data Environment using PPFC Approach", Asian Journal of Research in Social Sciences and Humanities. Vol. 7, No.3, pp.2249-7315 March 2017

  10. K Lakshmi,  N Karthikeyani Visalakshi, S Shanthi " CLUSTERING CATEGORICAL DATA USING k-MODES BASED ON CUCKOO SEARCH OPTIMIZATION ALGORITHM", ICTACT JOURNAL ON SOFT COMPUTING, Vol. 8, No. 1, pp.1561-1566 OCTOBER 2017

  11. S.Parvathavarthini,  N Karthikeyani Visalakshi, S Shanthi " An Application of PSO - Based Intuitionistic Fuzzy Clustering to Medical Datasets", ICTACT JOURNAL ON SOFT COMPUTING, Vol. 8, No. 1, pp.1531-1538 OCTOBER 2017

  12. S.Parvathavarthini,  N Karthikeyani Visalakshi, S Shanthi "Image Segmentation Using Particle Swarm Optimization Based Intuitionistic Fuzzy Clustering ", International Journal of Mathematical Archive, Vol. 9, No. 1, pp.169-175 January 2018

  13. K Lakshmi,  N Karthikeyani Visalakshi, S Shanthi, "Data clustering using K-Means based on Crow Search Algorithm",Sadhana, 2018 (Indexed in SCIE)

  14. Thenmozhi,  N Karthikeyani Visalakshi, S Shanthi , "Distribution based Fuzzy Estimate Spectral Clustering for Cancer Detection with Protein Sequence and Structural Motifs", Asian Pacific Journal of Cancer Prevention, Vol. 19, No. 7, pp. 1935-1940, July 2018 (Scopus)

  15. Thenmozhi,  N Karthikeyani Visalakshi, S Shanthi "Distributed ICSA Clustering Approach for Large Scale Protein Sequences and Cancer Diagnosis", Asian Pacific Journal of Cancer Prevention, Vol. 19, No. 11, pp.3105-3109, November 2018 (Scopus)

  16. S.Parvathavarthini,  N Karthikeyani Visalakshi, S Shanthi "Breast cancer detection using crow search optimization based intuitionistic fuzzy clustering with neighborhood attraction", Asian Pacific Journal of Cancer Prevention, Vol. 20, No. 1, pp.157-165, January 2019 (Scopus)

  17.  S.Shanthi, T. Gopi, "IoT Based Water and Air Quality Monitoring System and Analysis', International Journal of Applied Engineering Research Vol.14, No. 6,  pp.1405-1409, 2019 (Scopus)

  18. S.Praveen, S.Shanthi, "GARBAGE MANAGEMENT SYSTEM USING IOT", Journal of Emerging Technologies and Innovative Research , Vol.6, No.4, pp.112 - 117, 2019

  19.  M.Pyingkodi, S.Shanthi, "Composition of Feature Relevancy Based Biomarker Gene Selection in Gene Expression Dataset", International Journal of Recent Technology and Engineering (IJRTE) Vol.8, No.4, pp.  November 2019  (Scopus)

  20. S.Shanthi, M.Pyingkodi, "Air Quality Index Prediction using Machine Learning Algorithms", International Journal of Recent Technology and Engineering (IJRTE) Vol.8, No.4, pp.  November 2019 (Scopus)

  21. Buvaneswari.V.B, S.Shanthi, M.Pyingkodi, "Big Data Analytics for Images in Public Cloud using MapReduce on Local Clusters", International Journal of Recent Technology and Engineering (IJRTE) Vol.8, No.4, pp.  November 2019 (Scopus)

  22. M Pyingkodi, S Shanthi,  M. Muthukumaran , K.Nanthini, "Hybrid Bee Colony And Weighted Ranking Firefly Optimization For Cancer Detection From Gene Regulatory Sequences", INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH, Vol.9, No.1, pp.2459-2465, January 2020  (Scopus)

  23. Karthikeyani Visalakshi N., Shanthi S, Lakshmi K, " MapReduce-Based Crow Search- Adopted Partitional Clustering Algorithms for Handling Large-Scale Data", International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), Vol.15, No. 4 (Scopus)

  24. S.Shanthi, Aruljyothi Lokeshwari, Balasundaram Manohar Babu, Janakiraman Anuja, K.Nirmaladevi,  and M.Pyingkodi, "Artificial intelligence applications in different imaging modalities for corneal topography", Survey of Ophthalmology, August 2021, Online (SCI)

  25.  Pitchai, R., Dappuri, B., Pramila, P.V., ...Sundaram, R.S., Beyene, I.,  An Artificial Intelligence-Based Bio-Medical Stroke Prediction and Analytical System Using a Machine Learning Approach, Computational Intelligence and Neuroscience, 2022, 2022, 5489084 (SCI) 

  26.  Kathamuthu, N.D., Subramaniam, S., Le, Q.H., ...Alrubaie, A.J., Maher Abdul Zahra, M., A deep transfer learning-based convolution neural network model for COVID-19 detection using computed tomography scan images for medical applications, Advances in Engineering Software, , 2023, 175, 103317 (SCI) 

  27.  Priyanka, S., Shanthi, S, EEG-based drowsiness analysis using OpenBCI and deep learning approaches to establish driving safety, Journal of Intelligent and Fuzzy Systems, 2023, 44(1), pp. 59–73. (SCI)

Paper Presented in International Conferences

1. Shanthi S.,  Murali Bhaskaran V “Computer-aided detection and classification of mammogram using self-adaptive resource allocation network classifier”, International Conference on Pattern Recognition, Informatics and Medical Engineering(PRIME 2012), March 2012 (Scopus)

2. Jyothi S., Shanthi. S., "An exploratory study to evaluate the working of different search engines", IFERP International Conference, May 2016

3. Dr.S.Shanthi, Ms.M.Pyingkodi, Mr.Sreeraj V   Ms.Deepica K Mr.Gobinath R, "A Study of Air Quality  and its Impact of Human Health in Tamilnadu", AICTE Sponsored International Conference on Recent Trends and Challenges in Healthcare Informatics (RCHI-2019), December 2019

4. Ms.Priyanka S,    Dr.S.Shanthi,  "A Survey on Image Processing Using Deep Learning Techniques", AICTE Sponsored International Conference on Recent Trends and Challenges in Healthcare Informatics (RCHI-2019), December 2019

5. N Krishnamoorthy, K Nirmaladevi, S Shanth, N Karthikeyan, "Investigation and comparison of different CNN architectures on tomato leaf disease prediction using deep learning", AIP Conference Proceedings 2387 (1), 080001 (Scopus)

6. Nirmala Devi, K., Shanthi, S., Suruthi, S., "Prediction and Analysis of Heart disease using Data Mining Algorithms", Proceedings of the 3rd international conference on Inventive Research in Computing Applications,  ICIRCA 2021, 2021, pp.651-658. (Scopus)

7. S Nirmala Devi, K., Shanthi, S., Hemanandhini, K., Haritha, S., Aarthy, "Analysis of COVID-19 Epidemic Disease Dynamics Using Deep Learning", Lecture Notes on Data Engineering and Communications Technologies,140, pp. 323-334, 2022

8. Devi, K.N., Shanthi, S.,Suruthi, S.  "Coronary Artery Disease prediction using Machine Learning Techniques", 8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022, pp. 1029-1034, 2022

9. Priyanka, S., Meenakshi Dhanalakshmi, M.,Shanthi, S.,"A Review on Drowsiness Prediction System using Deep Learning Approaches", Proceedings - 6th International Conference on Computing Methodologies and Communication, ICCMC 2022 pp. 1079-1084, 2022

10. Shanthi, S., Nirmaladevi, K., Mathiarasi, N., ...Kuppuchamy, R., Krishnamoorthy, N. "Product Recommendation System using Deep Learning based Recurrent Neural Network",2023 International Conference on Computer Communication and Informatics, ICCCI 2023 

11. Shanthi, S., Nirmaladevi, K., Mathiarasi, N., ...Kuppuchamy, R., Krishnamoorthy, N. "A Novel Method for Pneumothorax Diagnosis and Segmentation Using Deep Convolution Neural Network", 2023 International Conference on Computer Communication and Informatics, ICCCI 2023 

12. Nandhakumar, R.G., Devi, K.N., Krishnamoorthy, N.,Shanthi S,Pranesh, V.R., Nikhalyaa, S.  "Yolo Based License Plate Detection of Triple Riders and Violators",2023 International Conference on Computer Communication and Informatics, ICCCI 2023 

Paper Presented at National Conferences

1. Shanthi S.,"Privacy-Preserving Distributed Data Mining based on Random Data Perturbation Technique", ETICSE’06, January 2006

2. Mangayarkarasi.M, Shanthi.S, "A Data Mining Framework for Building Intrusion Detection Models", National Conference on Cyber Crime & Security Management sponsored by Dept. of IT (DIT), November 2007

3. Shanthi S., "Medical Image Classification Using Data Mining Technique", NCACI 2009, Sri  Ramakrishna Engineering College, June 2009

4. Shanthi S.,  Murali Bhaskaran V  “Image Mining: A survey of current research and techniques”, AICTE sponsored conference on Optimization Technique and Its Applications, August 2009

5.  Shanthi S., “Entropy-Based Feature Extraction and   Kernel F-Score Feature Selection for Computer Aided Medical Image Classification System”, DRDO sponsored National  conference on Data Mining, Spatial & Geospatial Database, December 2010

6. Shanthi S., “Analysis of Mammogram Image”, DRDO Sponsored National Conference on High-Performance Computing, March 2012

7. Shanthi S., "Implementation of Automatic Video-based Abnormal Event Detection using background Subtraction", National Conference of “Recent Trends in Electrical Science”, March 2017

Research Project

AICTE sponsored  RPS on "Design and Development of AI-Powered Deep Learning Model for COVID-19 Identification, Diagnosis and Prediction of Outbreak Management", from March 2022 to February 2025

Book Chapters Published

1.   K Lakshmi, S Shanthi, S Parvathavarthini, "Clustering Mixed Datasets Using K-Prototype Algorithm Based on Crow-Search Optimization", Developments and Trends in Intelligent Technologies and Smart Systems, 191-210, 2018 

2.  S Parvathavarthini, S Shanthi, K Lakshmi, "Crow-Search-Based Intuitionistic Fuzzy C-Means Clustering Algorithm", Developments and Trends in Intelligent Technologies and Smart Systems, 129-150, 2018

3.  Pyingkodi Maran, Shanthi S., Thenmozhi K., Hemalatha D.,  Nanthini K., “A Novel Deep Learning Method for Identification of Cancer Genes From Gene Expression Dataset”,  Machine Learning and Deep Learning in Real-Time Applications,  129-144, 2020

4. Nirmala Devi, K., Shanthi, S., Hemanandhini, K., Haritha, S., Aarthy, S., "Analysis of COVID-19 Epidemic Disease Dynamics Using Deep Learning ", Springer Nature, 2022

Funded Programmes Organized (Seminar/Conference/Workshop/FDP/STTP/Other)

Ph.D Guidance

Special Lectures Delivered

Industrial training attended